#------------------------------------------------- # NGC3627, Raster, Combining all data, Jan 08 run #------------------------------------------------- ------------------------------------------------------------------------------- INITIAL REDUCTION USING NEAREST SPREAD: makecube in="a2008011*_flagspike.sdf" autogrid=true crota=7 pixsize=7.2761 sparse=false spread='nearest' specbounds=\"300.0 1110.0\" out=ngc3627_combined reset # Projection parameters used: # CRPIX1 = 24.9775510188192 # CRPIX2 = 34.1122449040413 # CRVAL1 = 170.0625 ( RA = 11:20:15.0 ) # CRVAL2 = 12.9916666666667 ( Dec = 12:59:30 ) # CDELT1 = -0.00202113893296984 ( -7.3 arcsec ) # CDELT2 = 0.00202113893296984 ( 7.3 arcsec ) # CROTA2 = 7 # # Output cube pixel bounds: ( -22:25, -32:35, -953:952 ) # Output cube WCS bounds: # Right ascension: 11:20:00.8 -> 11:20:28.6 # Declination: 12:55:06 -> 13:03:59 # Optical velocity (USB): 299.6328 -> 1110.348 km/s # Trying with just order 1 fit due to wide line mfittrend ngc3627_combined ranges=\"300 470 940 1110\" order=1 axis=3 out=ngc3627_combined_base1 sub ngc3627_combined ngc3627_combined_base1 ngc3627_combined_sub1 compave ngc3627_combined_sub1 ngc3627_combined_sub1_20kms compress="[1,1,47]" stats 'ngc3627_combined_sub1_20kms(~21,~21,:)' | grep Standard # Standard deviation : 0.0246745 <-- CO is strong in this cube! stats 'ngc3627_combined_sub1_20kms(~21,~21,300.0:470.0)' | grep Standard # Standard deviation : 0.01477 stats 'ngc3627_combined_sub1_20kms(~21,~21,940.0:1110.0)' | grep Standard # Standard deviation : 0.0126205 ------------------------------------------------------------------------------- NOW SINCSINC: makecube in="a2008011*_flagspike.sdf" autogrid=true crota=7 pixsize=7.2761 sparse=false spread='sincsinc' params='[1,2]' specbounds=\"300.0 1110.0\" out=ngc3627_sincsinc reset # Projection parameters used: # CRPIX1 = 24.9775510188192 # CRPIX2 = 34.1122449040413 # CRVAL1 = 170.0625 ( RA = 11:20:15.0 ) # CRVAL2 = 12.9916666666667 ( Dec = 12:59:30 ) # CDELT1 = -0.00202113893296984 ( -7.3 arcsec ) # CDELT2 = 0.00202113893296984 ( 7.3 arcsec ) # CROTA2 = 7 # # Output cube pixel bounds: ( -22:25, -32:35, -953:952 ) # Output cube WCS bounds: # Right ascension: 11:20:00.8 -> 11:20:28.6 # Declination: 12:55:06 -> 13:03:59 # Optical velocity (USB): 299.6328 -> 1110.348 km/s # # # WARNING: Cannot create output Tsys values. chpix in=ngc3627_sincsinc out=ngc3627_sincsinc_spikebad section=\":,:,-443:-433\" newval=bad ndfcopy in=ngc3627_sincsinc_spikebad'(-14:15,-25:24,)' out=ngc3627_sincsinc_trim mfittrend ngc3627_sincsinc_trim ranges=\"300 470 940 1110\" order=1 axis=3 out=ngc3627_sincsinc_trim_base1 # Fitting NDF Axis 3, using ranges in current co-ordinate Frame (pixels): # 300.057 : 469.8346 km/s (-953 : -553) # 939.8451 : 1109.921 km/s (552 : 951) sub ngc3627_sincsinc_trim ngc3627_sincsinc_trim_base1 ngc3627_sincsinc_trim_sub1 compave ngc3627_sincsinc_trim_sub1 ngc3627_sincsinc_trim_sub1_20kms compress="[1,1,47]" stats 'ngc3627_sincsinc_trim_sub1_20kms(~21,~21,:)' | grep Standard # Standard deviation : 0.0233176 <-- CO is strong in this cube! stats 'ngc3627_sincsinc_trim_sub1_20kms(~21,~21,300.0:470.0)' | grep Standard # Standard deviation : 0.013866 stats 'ngc3627_sincsinc_trim_sub1_20kms(~21,~21,940.0:1110.0)' | grep Standard # Standard deviation : 0.0116157 ------------------------------------------------------------------------------- BASELINE MASK PRODUCTION: # First produce a smoothed cube to identify the line and make masks with mfittrend block in=ngc3627_sincsinc_trim out=ngc3627_sincsinc_trim_vsmooth 'axes=[1,3] box=[1,25]' block in=ngc3627_sincsinc_trim_vsmooth out=ngc3627_sincsinc_trim_smooth 'axes=[1,2] box=[3,3]' mfittrend in=ngc3627_sincsinc_trim_smooth axis=3 order=1 out=ngc3627_sincsinc_trim_smooth_base1 auto mask=ngc3627_sincsinc_trim_smooth_basemsk1 method=single variance=false subtract=false 'clip=[2,3]' mfittrend in=ngc3627_sincsinc_trim_smooth axis=3 order=1 out=ngc3627_sincsinc_trim_smooth_base1g auto mask=ngc3627_sincsinc_trim_smooth_basemsk1g method=global variance=false subtract=false 'clip=[2,2.5,3]' add ngc3627_sincsinc_trim_smooth_basemsk1 ngc3627_sincsinc_trim_smooth_basemsk1g ngc3627_trim_basemask0 chpix in=ngc3627_trim_basemask0 out=ngc3627_trim_basemask0_end1 section=\":,:,-954:-553\" newval=0 chpix in=ngc3627_trim_basemask0_end1 out=ngc3627_trim_basemask0_end2 section=\":,:,553:952\" newval=0 cadd ngc3627_trim_basemask0_end2 1 ngc3627_trim_basemask1 mult ngc3627_sincsinc_trim ngc3627_trim_basemask1 ngc3627_sincsinc_trim_masked mfittrend ngc3627_sincsinc_trim_masked ranges=\"300 1110\" order=3 axis=3 out=ngc3627_sincsinc_trim_masked_base3 # Fitting NDF Axis 3, using ranges in current co-ordinate Frame (pixels): # 300.057 : 1109.921 km/s (-953 : 951) sub ngc3627_sincsinc_trim ngc3627_sincsinc_trim_masked_base3 ngc3627_sincsinc_trim_submask3 compave ngc3627_sincsinc_trim_submask3 ngc3627_sincsinc_trim_submask3_20kms compress="[1,1,47]" stats 'ngc3627_sincsinc_trim_submask3_20kms(~21,~21,:)' | grep Standard # Standard deviation : 0.0219872 stats 'ngc3627_sincsinc_trim_submask3_20kms(~21,~21,300.0:470.0)' | grep Standard # Standard deviation : 0.0134735 stats 'ngc3627_sincsinc_trim_submask3_20kms(~21,~21,940.0:1110.0)' | grep Standard # Standard deviation : 0.0111985 ------------------------------------------------------------------------------- CREATE MOMENT MAPS: mkdir Moment_sincsinc cp ngc3627_sincsinc_trim_submask3.sdf Moment_sincsinc/ngc3627_sincsinc_trim_submask3_rembsl.sdf cp ngc3627_trim_basemask1.sdf Moment_sincsinc/ngc3627_sincsinc_trim_submask3_msk.sdf cp ../NGC3031/Moment_sincsinc/REDUCE_SCIENCE_GRADIENT Moment_sincsinc/ cd Moment_sincsinc *Edit RSG Script: emacs REDUCE_SCIENCE_GRADIENT & set object = "ngc3627_sincsinc_trim_submask3" set vrange = "low=470 high=940" # Quick jumps to repeat parts of the reduction #goto STEP1a #goto STEP1b #goto STEP2 goto STEP3 foreach rmslev (2.0 2.5 3.0 3.5 4.0 4.5 5.0) **Remove trim function: # Multiply baselined cube with clump mask ${kap}/mult ${sdf} ${sdf}_findclump${rmslab} ${sdf}_clmsk${rmslab} # Trim the noisy edges # ${kap}/ndfcopy temp'(-26:26,-36:40,)' ${sdf}_clmsk${rmslab} \rm -f ${sdf}_mask_temp1.sdf ${sdf}_mask_temp2.sdf >& /dev/null ./REDUCE_SCIENCE_GRADIENT # RMS MASKED SMOOTHED CUBE(-8:9,-16:15,-895:894): 0.0067567792314084 Rotate intvel maps: rotate ngc3627_sincsinc_trim_submask3_intvel20 ngc3627_sincsinc_trim_submask3_intvel20_rot angle=! rotate ngc3627_sincsinc_trim_submask3_intvel25 ngc3627_sincsinc_trim_submask3_intvel25_rot angle=! rotate ngc3627_sincsinc_trim_submask3_intvel30 ngc3627_sincsinc_trim_submask3_intvel30_rot angle=! rotate ngc3627_sincsinc_trim_submask3_intvel35 ngc3627_sincsinc_trim_submask3_intvel35_rot angle=! rotate ngc3627_sincsinc_trim_submask3_intvel40 ngc3627_sincsinc_trim_submask3_intvel40_rot angle=! rotate ngc3627_sincsinc_trim_submask3_intvel45 ngc3627_sincsinc_trim_submask3_intvel45_rot angle=! rotate ngc3627_sincsinc_trim_submask3_intvel50 ngc3627_sincsinc_trim_submask3_intvel50_rot angle=! (contoured totint maps and velocity maps then made using gaia) ------------------------------------------------------------------------------- MAKE CUBES DISPLAYING S/N RATIO: collapse in=ngc3627_sincsinc_trim_submask3.sdf low=300 high=470 axis=vopt out=sigma_low estimator=sigma reset collapse in=ngc3627_sincsinc_trim_submask3.sdf low=940 high=1110 axis=vopt out=sigma_high estimator=sigma reset block ngc3627_sincsinc_trim_submask3_20kms.sdf ngc3627_sincsinc_trim_submask3_20kms_bin5.sdf axes="[2,3]" box="[1,5]" estimator=mean block ngc3627_sincsinc_trim_submask3_20kms.sdf ngc3627_sincsinc_trim_submask3_20kms_bin9.sdf axes="[2,3]" box="[1,9]" estimator=mean manic in=sigma_low out=sigma_low_3d axes="[1,2,0]" lbound=-19 ubound=40 reset wcscopy ndf=sigma_low_3d like=ngc3627_sincsinc_trim_submask3_20kms_bin5.sdf confirm=false reset cdiv sigma_low_3d 6.85565 sigma_low_20kms div ngc3627_sincsinc_trim_submask3_20kms_bin5.sdf sigma_low_20kms.sdf ngc3627_sincsinc_trim_submask3_20kms_bin5_SN.sdf div ngc3627_sincsinc_trim_submask3_20kms_bin9.sdf sigma_low_20kms.sdf ngc3627_sincsinc_trim_submask3_20kms_bin9_SN.sdf ------------------------------------------------------------------------------- MAKE TOTINT20 NOISE and SN MAPS: mkdir noise_maps cd noise_maps cp ../sigma_high.sdf . cp ../sigma_low.sdf . cp ../Moment_sincsinc/ngc3627_sincsinc_trim_submask3_rembsl_findclump20.sdf . cp ../Moment_sincsinc/ngc3627_sincsinc_trim_submask3_totint20.sdf . add sigma_high sigma_low out=sigma_sum cdiv sigma_sum.sdf 2 sigma_avg collapse in= ngc3627_sincsinc_trim_submask3_rembsl_findclump20.sdf out=test0 axis=vopt estimator=sum wlim=0.0 (must make mask to multiply by collapsed image so values are real, not integer, otherwise sqrt function below will round to nearest integer) cmult sigma_avg 0 test1 cadd test1 1.0 test2 mult test2 test0 test3 (now have same collapsed image with real, not integer values) maths exp="sqrt(IA)" out=test4 IA=test3 cmult test4 0.42 test5 mult sigma_avg test5 ngc3627_totint20_noise div ngc3627_sincsinc_trim_submask3_totint20.sdf ngc3627_totint20_noise ngc3627_totint20_SN (contoured SN maps then made using gaia) ------------------------------------------------------------------------------- TRIM OUT NOISE FROM TOTINT20 MAP: *Try trimming regions with SN < 2.0: thresh ngc3627_totint20_SN.sdf thrlo=2 newlo=bad thrhi=500 newhi=bad out=ngc3627_totint20_SN_thresh2 # There were 743 elements changed in the DATA array below the threshold. # There were 0 elements changed in the DATA array above the threshold. cmult ngc3627_totint20_SN_thresh2.sdf 0 ngc3627_zeroall_2 cadd ngc3627_zeroall_2 1 ngc3627_msk_2 mult ngc3627_msk_2.sdf ngc3627_sincsinc_trim_submask3_totint20.sdf ngc3627_totint20_noisetrim2 *Try trimming regions with SN < 1.5: thresh ngc3627_totint20_SN.sdf thrlo=1.5 newlo=bad thrhi=500 newhi=bad out=ngc3627_totint20_SN_thresh15 # There were 625 elements changed in the DATA array below the threshold. # There were 0 elements changed in the DATA array above the threshold. cmult ngc3627_totint20_SN_thresh15.sdf 0 ngc3627_zeroall_15 cadd ngc3627_zeroall_15.sdf 1 ngc3627_msk_15 mult ngc3627_msk_15.sdf ngc3627_sincsinc_trim_submask3_totint20.sdf ngc3627_totint20_noisetrim_15 ------------------------------------------------------------------------------- MAKE TOTINT30 NOISE and SN MAPS: cp ../Moment_sincsinc/ngc3627_sincsinc_trim_submask3_rembsl_findclump30.sdf . cp ../Moment_sincsinc/ngc3627_sincsinc_trim_submask3_totint30.sdf . collapse in= ngc3627_sincsinc_trim_submask3_rembsl_findclump30.sdf out=test6 axis=vopt estimator=sum wlim=0.0 mult test2 test6 test7 maths exp="sqrt(IA)" out=test8 IA=test7 cmult test8 0.42 test9 mult sigma_avg test9 ngc3627_totint30_noise div ngc3627_sincsinc_trim_submask3_totint30.sdf ngc3627_totint30_noise ngc3627_totint30_SN (contoured SN maps then made using gaia)